A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates

Gomes, Guilherme Ferreira; Cunha, Sebastião Simões da; Ancelotti, Antônio Carlos

doi:10.1007/s00366-018-0620-8

Cited by 297 publications

(137 citation statements)

References 23 publications

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“…MATLAB program language and a personal computer with a processor of 2.0 GHz and 2.0 GB RAM are the main tools for executing simulation results. Before running these methods, their control parameters are analyzed and selected based on experiments as well as referred from previous studies such as [1,10,11] for GA, [17,18,44] for PSO, [23,52] for BBO, [53] for SFO, [54] for SSA, and [37] for COA. e process of tuning the parameters is explained as follows:…”

Section: Simulation Resultsmentioning

confidence: 99%

“…(3) For running PSO, two acceleration factors c 1 and c 2 are set to 2[44]. (4) To implement SFO, the day (d) and the sun (s) are, respectively, fixed at 100 and 1 while the pollination (p) is ranged from 0.6 to 1 with a step of 0.2[53]. (5) For SSA, c 1 is a function of 2e − (4IT/IT max ) 2 ; c 2 and c 3 are randomly produced numbers in the interval of [0, 1] [54].…”

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confidence: 99%

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Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems

Nguyen

Pham²,

Kien

et al. 2020

Complexity

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This paper proposes an improved coyote optimization algorithm (ICOA) for optimizing the location and sizing of solar photovoltaic distribution generation units (PVDGUs) in radial distribution systems. In the considered problem, four single objectives consisting of total power losses, capacity of all PVDGUs, voltage profile index, and harmonic distortions are minimized independently while satisfying branch current limits, voltage limits, and harmonic distortion limits exactly and simultaneously. The performance of the proposed ICOA method has been improved significantly since two improvements were carried out on the two new solution generations of the conventional coyote optimization algorithm (COA). By finding four single objectives from two IEEE distribution power systems with 33 buses and 69 buses, the impact of each proposed improvement and two proposed improvements on the real performance of ICOA has been investigated. ICOA was superior to COA in terms of capability of finding higher quality solutions, more stable search ability, and faster convergence speed. Furthermore, we have also applied five other metaheuristic algorithms consisting of biogeography-based optimization (BBO), genetic algorithm (GA), particle swarm optimization algorithm (PSO), sunflower optimization (SFO), and salp swarm algorithm (SSA) for dealing with the same problem and evaluating further performance of ICOA. The result comparisons have also indicated the outstanding performance of ICOA because it could find much better results than these methods, especially SFO, SSA, and GA. Consequently, the proposed ICOA is a very effective method for finding the optimal location and capacity of PVDGUs in radial distribution power systems.

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Section: Simulation Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems

Nguyen

Pham²,

Kien

et al. 2020

Complexity

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“…Each cluster has only one CH, and this can be selected with ASOA. Sunflower optimization algorithm (SOA) 31 is a global optimization technique for multidimensional problems, which is mainly based on population. The evolution of this algorithm is inspired by sunflowers motion towards the sun.…”

Section: Proposed Methodologymentioning

confidence: 99%

Energy efficient hotspot problem mitigation techniques using multiple mobile sink in heterogeneous wireless sensor network

Gupta

Tripathi

Singh

2020

Int J Communication

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Summary Wireless sensor networks (WSNs) are application‐oriented and mainly used in the following fields, such as battleground surveillance, border security, and disaster management. The sensor nodes should be extra reliable, and also, high consistency is needed to perform these tasks. Therefore, heterogeneous wireless sensor networks (HWSNs) are introduced to enhance the network lifetime and stability period by minimizing the node's communicative distance from mobile sinks (MSs). The maximum amount of energy is consumed while communicating the data from nodes to a single sink. In this work, multiple mobile sinks (MMSs) are used to transfer the data from nodes to sink with less energy consumption and a reduced number of hops. Also, higher connectivity is ensured as the sinks are placed close to the nodes, and data can be successfully delivered to sinks. This work reveals the importance of multiple MSs in HWSNs. The use of MMSs and cluster‐based routing approaches improves the efficiency of data collection in HWSNs. K‐medoid with adaptive sunflower optimization algorithm is used for the selection of cluster head (CH). To achieve energy efficiency (EE), detecting an optimal route for MS is a critical task. Then, the hybrid Harris Hawk and ant colony optimization (HANT) algorithm‐based sink moving strategy is used for finding an optimal traversal path. The proposed heterogeneous network is implemented in the network simulator (version 2) (NS2) platform. Simulation results show enhancement in EE in terms of network lifetime, stability period, several dead and alive nodes, and network's remaining energy.

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“…r , e = (1, 2, ..., nele) ; r = (1, 2, ..., nmod) (4) in which nmod is the number of considered mode shapes; and the superscripts d denotes the damaged states.…”

Section: Modal Kinetic Energymentioning

confidence: 99%

“…Seeking or evolving damage features which are sufciently sensitive to local damage but insensitive to modeling errors and noise contamination, is the core part of VBDI approaches. In the last years, many researchers have proposed numerous methods for damage detection, localization and estimation in composite structures using vibration parameters comprising natural frequencies [3,4], exibility matrix [5,6] and modal strain energy [7,8].…”

Section: Introductionmentioning

confidence: 99%

Modal Kinetic Energy Change Ratio-based Damage Assessment of Laminated Composite Beams using Noisy and Incomplete Measurements

Dinh-Cong

Vo-Van

Nguyen-Quoc

et al. 2019

J. ADV. ENG. COMPUT.

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Modal kinetic energy (MKE) feature has been mostly employed for optimal sensor layout strategies; nevertheless, little attention is paid to use the feature to the field of structural damage detection. The article presents the extensive applicability of MKE change ratio (MKECR), a good damage sensitive parameter, to damage localization and quantification of laminated composite beams. The formulation of the parameter is based on the closed-form of element MKE sensitivity. The performance of the offered damage detection method is numerically verified by a clamped-clamped composite beam and a two-span continuous composite beam with different hypothetical damage scenarios. The influence of incomplete mode shapes, various noise levels as well as damage magnitudes on damage prediction results are also investigated. The obtained results from these numerical examples indicate that the offered method reliably localize the actually damaged elements and approximately estimate their severities, even under incomplete measurements at a high noise level.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

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A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates

Cited by 297 publications

References 23 publications

Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems

Improved Coyote Optimization Algorithm for Optimally Installing Solar Photovoltaic Distribution Generation Units in Radial Distribution Power Systems

Energy efficient hotspot problem mitigation techniques using multiple mobile sink in heterogeneous wireless sensor network

Modal Kinetic Energy Change Ratio-based Damage Assessment of Laminated Composite Beams using Noisy and Incomplete Measurements

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